C++ Gbdt

Open-source C++ projects categorized as Gbdt

C++ Gbdt Projects

  • xgboost

    Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

  • Project mention: stackgbm VS xgboost - a user suggested alternative | libhunt.com/r/stackgbm | 2024-05-05
  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • LightGBM

    A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

  • Project mention: SIRUS.jl: Interpretable Machine Learning via Rule Extraction | /r/Julia | 2023-06-29

    SIRUS.jl is a pure Julia implementation of the SIRUS algorithm by Bénard et al. (2021). The algorithm is a rule-based machine learning model meaning that it is fully interpretable. The algorithm does this by firstly fitting a random forests and then converting this forest to rules. Furthermore, the algorithm is stable and achieves a predictive performance that is comparable to LightGBM, a state-of-the-art gradient boosting model created by Microsoft. Interpretability, stability, and predictive performance are described in more detail below.

NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).

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C++ Gbdt related posts

  • stackgbm VS xgboost - a user suggested alternative

    2 projects | 5 May 2024
  • XGBoost 2.0

    1 project | news.ycombinator.com | 13 Oct 2023
  • XGBoost2.0

    1 project | news.ycombinator.com | 9 Oct 2023
  • SIRUS.jl: Interpretable Machine Learning via Rule Extraction

    2 projects | /r/Julia | 29 Jun 2023
  • [D] RAM speeds for tabular machine learning algorithms

    1 project | /r/MachineLearning | 9 Jun 2023
  • Xgboost: Banding continuous variables vs keeping raw data

    1 project | /r/datascience | 1 Jun 2023
  • [P] LightGBM but lighter in another language?

    1 project | /r/MachineLearning | 4 May 2023
  • A note from our sponsor - InfluxDB
    www.influxdata.com | 20 Jun 2024
    Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality. Learn more →

Index

Project Stars
1 xgboost 25,729
2 LightGBM 16,290

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